GIS and Remote Sensing in Disaster Risk Management Training Course

GIS and Remote Sensing in Disaster Risk Management Training Course

This training course will equip participants with the necessary skills and knowledge on how to report, analyze, and disseminate data for all health programs.

Intermediate | 5 days | Face to Face / Online / Elearning | Certificate
01

Course Overview

Course Summary
Course Title GIS and Remote Sensing in Disaster Risk Management Training Course
Organization Tech For Development (T4D)
Venue Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi
Duration 5 days
Target Industries
Target Job Roles
Course Fees (Face-to-Face) USD 1,100/KES 75,000 (Exclusive of VAT)
Course Fees (Virtual) USD 1,000/KES 70,000 (Exclusive of VAT)
Training Modes Virtual and face-to-face training
Payment Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course
Accreditation Tech For Development Certificate of Course Completion

Course Overview:

This course is designed to introduce participants to the powerful tools of Geographic Information Systems (GIS) and Remote Sensing in the context of disaster risk management. Participants will learn how to effectively use GIS and remote sensing technologies to assess, mitigate, and manage disaster risks. The course covers key concepts, data processing, and the application of these technologies in disaster preparedness, response, and recovery.


Course Duration:

5 Days


Target Audience:

  • Disaster risk management professionals

  • GIS specialists

  • Remote sensing analysts

  • Environmental scientists

  • Urban planners

  • Emergency response teams

  • Government and NGO staff involved in disaster management and planning


Personal Impact:

Upon completion of this course, participants will:

  • Gain practical skills in using GIS and remote sensing tools for disaster risk analysis.

  • Be able to analyze disaster data to predict and assess disaster impacts.

  • Enhance their ability to make data-driven decisions in disaster preparedness and response.

  • Develop the confidence to incorporate GIS and remote sensing technologies into their daily work in disaster risk management.


Organizational Impact:

By implementing the knowledge gained from this course, organizations will:

  • Improve their disaster risk reduction strategies through better data and analysis.

  • Be able to develop more effective disaster response plans using GIS and remote sensing data.

  • Enhance collaboration among teams with a common understanding of geospatial technologies.

  • Increase operational efficiency by integrating technology into disaster management workflows.

Course Objectives:

By the end of this course, participants will be able to:

  1. Understand the fundamental principles of GIS and remote sensing in disaster risk management.

  2. Apply GIS techniques to analyze hazard and vulnerability data.

  3. Use remote sensing data for monitoring and assessment of disaster-prone areas.

  4. Integrate GIS and remote sensing data for disaster impact modeling and decision-making.

  5. Understand how GIS and remote sensing technologies can support effective disaster preparedness, response, and recovery.

02

Course Modules

Course Outline:


Module 1: Introduction to GIS and Remote Sensing for Disaster Risk Management

  • Fundamentals of GIS and Remote Sensing in disaster management

  • Key disaster risk management concepts

  • Overview of disaster cycles: mitigation, preparedness, response, and recovery

  • Introduction to GIS software and remote sensing tools

  • Mapping and spatial data analysis for disaster management

Case Study/Real-life Project:

  • Analyze a disaster-prone region and identify critical infrastructure for disaster preparedness using GIS tools.


Module 2: Remote Sensing Data Collection and Analysis for Disaster Risk Management

  • Understanding remote sensing technologies: satellite imagery, drones, and aerial photography

  • Types of remote sensing data for disaster management

  • Techniques for processing and analyzing remote sensing data

  • Disaster-specific applications: flood, fire, earthquake, and landslides

Case Study/Real-life Project:

  • Analyze satellite imagery to identify flood-prone areas and evaluate flood risks using remote sensing data.


Module 3: GIS for Hazard Mapping and Risk Assessment

  • Using GIS to assess natural hazards (earthquakes, floods, wildfires, etc.)

  • Creating hazard maps for disaster management planning

  • Integrating environmental, social, and economic data in GIS

  • Risk assessment methodologies: vulnerability, exposure, and hazard analysis

  • GIS tools for spatial decision support systems in disaster risk management

Case Study/Real-life Project:

  • Develop a GIS-based hazard map for a vulnerable community and assess the risk level for various natural disasters.


Module 4: Disaster Response and Early Warning Systems Using GIS and Remote Sensing

  • Role of GIS and Remote Sensing in disaster response operations

  • Setting up early warning systems using GIS and satellite data

  • Real-time data integration for rapid decision-making

  • Case studies on the use of remote sensing for disaster response (e.g., Hurricane Katrina, Tsunami, Earthquake)

Case Study/Real-life Project:

  • Design an early warning system for an earthquake-prone region using GIS and remote sensing data.


Module 5: Post-Disaster Assessment and Recovery Planning Using GIS and Remote Sensing

  • Techniques for post-disaster damage assessment using GIS and remote sensing data

  • Using GIS for recovery planning: assessing damage to infrastructure, housing, and agriculture

  • GIS for monitoring recovery progress and sustainability

  • Leveraging GIS for long-term disaster risk reduction strategies

Case Study/Real-life Project:

  • Conduct a post-disaster damage assessment in a real-world scenario using remote sensing and GIS data. Develop a recovery plan with GIS maps and analysis.

03

Course Administration

Methodology

Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.

Accreditation

Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion certified by the National Industrial Training Authority (NITA).

Training Venue

The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation & Airport Transfer

Arranged upon request.For reservations contact the Training Officer:
Email: [email protected]
Phone: (+254) 790 824 179

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.

Payment

Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to [email protected].

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2028 Schedules
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10 Jan - 14 Jan
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13 Mar - 17 Mar
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10 Apr - 14 Apr
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12 Jun - 16 Jun
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11 Sep - 15 Sep
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09 Oct - 13 Oct
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13 Nov - 17 Nov
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11 Dec - 15 Dec
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